EdTechGenerative AI & ML
Personalized AI Tutor & Adaptive Learning Platform for an Online Education Provider
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The Challenge
An online learning platform with 200,000 enrolled students was struggling with a 62% course abandonment rate.
One-size-fits-all content and a lack of immediate feedback were leaving learners disengaged, while instructor teams were overwhelmed with repetitive support tickets.
Our Approach
- Built a curriculum-aware LLM assistant with structured course content as grounding context via RAG
- Developed an adaptive assessment engine that adjusts question difficulty based on learner performance vectors
- Created a learner knowledge graph to track concept mastery and personalise revision paths
- Integrated a proactive nudge system using engagement signals to re-activate at-risk learners
Results
+41% course completion rate across all enrolled courses
55% reduction in instructor support tickets within 60 days
3.6 → 4.7 average learner satisfaction score (out of 5.0)
Related Services
This project drew on our work in Generative AI Development, RAG Systems, Product Engineering & Consulting.
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